WhatsApp, Whitehead, Williams, Wupocalypse. I enjoy indexing! Am I alone?

Is it time for a silly pre-spring vacation post? Well, yes. I might be in need of a serious rest… But am I alone in my enjoyment of creating an index? I need to ask. Is this a known condition shared by others?

I spent the most part of a summer vacation back in 2016 doing one. I was advised to try and get some help (research money, not medical) with Affect and Social Media (doubt that would really happen in the current crisis). I bet indexing software is crap too (never tried it). Not sure why, but the other editors didn’t seem keen to do it 😉 They were nonetheless very pleased when I said I liked doing them.

I must add, it’s not the words themselves, but the relations between these lists that gets me excited. Cameron, David followed by Chemsex or Epidemic, Facebook, Fear & Feelings of affordance. Wow! Trolling, Trump, TV debates & Twitter. My favourite – WhatsApp, Whitehead, Williams, Wupocalypse.

Here’s all words and phrases (raw and unedited) I have so far – excitedly awaiting the galleys so I can add page numbers 🙂 Is that as sad as it sounds?

Cover posted wrong cover – updated.

Index (updated 1st May 18)

<ct>Index</ct>

absent present, 13

action cinema, 100, 118-19

actual entities, 19, 21-22, 24

affect theory, 3, 5, 119n7

affective contagion, 153-54, 162, 169, 173. See also contagion; emotional contagion

affective flows, 87, 93

affective intensities, 78, 80, 87, 114, 117, 138

affective pedagogies, 77

affective practices, 29

affective solidarities, 66, 85, 78, 87-88, 89-90, 92-93

affectivity, 4-6, 23, 35, 38-40, 73, 138

algorithm panic, 124-25

anxiety, 31, 39, 68, 72, 100, 107, 118, 122-28, 147, 154, 162-63, 181-84

Aristotle, 5

austerity, 132, 134, 137, 138, 139n7

 

Bacon, Francis, 5

beauty vlogging, 122-28

behavioural psychology, 188-95

Belting, Hans, 161-62

 

Bergson, Henri, 5, 28, 31, 33, 39

Berlant, Lauren, 115, 119n1

big data, 44, 71- 72, 92, 99, 191, 194-95

bisexual men, 100, 132-35, 138

the body, 28-29, 31, 33, 42, 66, 72, 77-78, 100, 108, 159, 163-64

Boredom, 52-59, 72

Brexit, 2, 137-38

Brown, Gordon, 180-82

Brown, Steve, 29-30

 

Cambridge Analytica, 2, 194-95

Cameron, David, 180-82, 191

Chemsex, 131-39

cinematic affect, 119

Clegg, Nick, 180-82

Clough, Patricia, 5, 71, 72

collectivity, 5, 35, 38, 87, 134-35, 138, 191

concrescence, 18-19, 21-22, 24

consumerism, 123-4, 142, 146-47

contagion, 157-65. See also affective contagion; emotional contagion

craigdesigninglife (blog), 144-47

 

data visceralization, 47-48. See also visceral data

Dean, Jodi, 116-17, 118

Deleuze, Gilles, xi, xii, 5, 38, 82, 139-40n10, 166n8

digital affordances, 46, 85-88, 90, 93, 134. See also feelings of affordance

disciplinary plurality, xii, 3, 4-5

dystopic, 2, 7, 99, 155, 189, 193, 195

 

Elefriends (website), 14, 26-27, 29-33

Ebola epidemic, 157-65

embodiment, 158, 159, 162

emoticons, 5, 13, 18, 20, 23-24

emotion(s), 2-3, 7, 13, 18, 21-25, 30, 35, 39-40, 42, 43-48, 53, 55-57, 59, 72, 77-78, 79, 81,

87, 100, 101-2, 107, 128, 141, 143, 147, 154-55, 170, 178-86, 189

emotional chains, 154-55, 178, 185

emotional contagion. 1-2, 8n4, 155, 178-79, 185, 189. See also affective contagion;

contagion

emotional design, 3, 45

emotional labour, 126-7

emotionalisation of society, 178

enterprise society, 143

Esposito, Roberto, 159, 162, 164

 

 

Facebook, 1-3, 6, 8n4, 21, 23-24, 52-53, 55-56, 59, 67, 70, 72, 76, 89, 90, 99, 170, 189, 194,

fear, 36, 90, 99, 157, 162-65, 181-83

feelings of affordance, 29-33. See also digital affordances

Foucault, Michel, 190

Freud, Sigmund, 5, 180

 

gay men, 131, 135, 138, 141-43, 145, 147

gender, 37, 44, 85-86, 89, 102-3, 108, 125, 138, 141, 142

Gilbert, Jeremy, 5

Gregg, Melissa, 5, 120n9

Grindr (app), 131-32, 133, 135-36

Grusin, Richard, 162-63

 

hacking, 99, 100, 102, 113, 114-19

Hands, Joss, 70, 75n27

Hansen, Mark, 28-29, 31, 39

hashtag feminism, 85-86, 89

hashtag GamerGate, 101-4, 107-9

Hazmat suit, 159, 162-63

Hochschild, Eileen, 128

 

hook-up apps, 131-39

human capital, 142, 143-45, 147

 

images, 28, 31, 33, 67, 70, 90-91, 93, 117, 143, 144-47, 157-65, 168-75

immunity, 158, 162-65

individuation, 35, 38-40, 71. See also Simondon, Gilbert

infra-structure of feeling, 72-73

Ingold, Tim, 13-14, 36-37, 40

intimacy, 77, 88, 132-33, 135-36, 138

intuitive data toxicology, 47-48

 

journalism, 3, 101-3, 168-75

 

Kember, Sarah, 87

Kramer, Adam, 185, 194

 

Laing, R.D., 108

Lang, Peter, 53-56, 59

libertarian paternalism, 191

lifestyle, 20, 100, 111, 122, 143, 144-46

London, 132-34

Lury, Celia, 70-71

 

 

Marx, Karl, 21

masks, 127, 158, 159, 163

Massumi, Brian, 72, 77, 164-65

materiality, 39, 158, 159, 162

mediated intimacies, 88

meshwork, 36, 38, 40

moral panic, 131-32. See also algorithmic panic; panic

multisensory human computer interaction (HCI), 45

 

neoliberalism, 80, 116, 124, 132-34, 137-38, 141-43, 145, 147

neurosubject, 80

new materialisms, 70, 71, 75n27

Norman, Don, 3

nudge theory, 46, 99, 191, 195

 

online disinhibition, 107

 

Paasonen, Susanna, 4, 87

panic, 124, 127. See also algorithmic panic; moral panic

panopticism, 190, 192-94. See also surveillance

Paparachissi, Zizi, 87

Parikka, Jussi, 7

pedagogies, 77, 78, 80-82. See also affective pedagogies

Peeple (app), 192-93

personal information, 18, 20-22, 24, 102

popular fantasy, 113, 119

pornography, 4, 142, 144, 145, 147

Powell, Helen, 7

pre-emergence, 70-71, 72-73

prehensions, 5, 19, 22-25

privacy, 44, 46-48, 92, 99, 142, 192

produser, 88, 92

psychometrics, 195

 

Quinn, Zoe, 100-102

 

race, 44, 81-82

rape culture, 85-86, 88-90, 91, 93

Reavey, Paula, 29-30

Ringrose, Jessica, 37, 88

risk anxieties, 103

 

Sampson, Tony D., 6, 80, 163

Sandel, Michael, 109

Sedgwick, Eve, 73

Seigworth, Gregory J., 5, 120n9

Shaviro, Steven, 114, 119

Simondon, Gilbert, 35, 38-40

Skinner, B.F., 188-90, 192-92, 194, 197n19

somaesthetic, 42, 45

spectacle, 115, 117-18

Spinoza, Baruch, 5, 132

Spire (wearable technology), 76-82. See also wearable technologies

surveillance, 99, 117-19, 189-90

 

temporality, 14, 18-19, 36-37, 40, 67-69, 71, 74, 78

temporal present, 67-69, 71

terror, 117, 168-73

texture, 28-29, 65, 73-74

Thoreau, Henry D., 188, 189

trauma (PTSD), 136-37, 169-73, 176n22, 176n25

trigger warnings, 26-33, 80, 91, 99

trolling, 5, 85, 101-9

Trump, Donald, 2, 137, 138, 194-95

TV debates, 178-86

Twitter, 22, 66, 67, 70, 72, 85-93, 101, 102, 123, 178-86. See also hashtag feminism;

hashtag GamerGate,

 

users, 3, 13, 21, 23-24, 44-48, 77, 88, 90, 92, 99, 106, 113-19, 119n3, 124-25, 178-86, 189,

190-95

user generated content (UGC), 170-74

utopian, 189, 193-95

 

Valiaho, Pasi, 165

viral, 1, 81, 82, 86, 93, 101, 153, 158, 159, 194

visceral data, 42-48

viscerality, 6-7, 42-48

 

Wakeford, Nina, 71

wearable technologies, 76-82

WhatsApp, 21

Whitehead, Alfred N., 5, 18-25, 155n1

Williams, Raymond, 65, 68-74, 75n27

Wupocalypse, 103-5, 107, 108-9

YouTube, 52, 55-59, 100, 103, 104-5, 107, 110n11, 111n16, 122-28, 165, 170, 172,

177n31

 

Zoella, 123-24, 125, 127, 128

Zylinska, Joanna, 87

 

 

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